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3/3/22 RT Panel

The Roundtable Panel: a daily open discussion of issues in the news and beyond. Today's panelists are WAMC’s Alan Chartock, Siena College Professor of Comparative Politics Vera Eccarius-Kelly, Tetherless World Professor of Computer, Web and Cognitive Sciences at RPI and Director of the RPI-IBM Artificial Intelligence research collaboration Jim Hendler, Counter-terrorism expert and best-selling author Malcolm Nance.
Alan Chartock Jim Hendler Roundtable Panel Cognitive Sciences Siena College Professor Comparative Politics Vera Eccarius Kelly
Source: wamc.org

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Can machine-learning models overcome biased datasets?

Researchers applied the tools of neuroscience to study when and how an artificial neural network can overcome bias in a dataset. They found that data diversity, not dataset size, is key and that the emergence of certain types of neurons during training plays a major role in how well a neural network is able to overcome dataset bias.
Xavier Boix Tomotake Sasaki Nishchal Bhandari Timothy Henry Spandan Madan Jamell Dozier
Source: mit.edu

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